To solve the problem of track initiation typically encountered in the presence of unknown number of targets and different precision of detection

a track initiation algorithm for a multi-stations passive sensor system is proposed. First

measurement datas are preprocessed to eliminate a part of false observation points using multi-rules method

and then Bring fuzzy set into Hough transform parameter space. Use membership degree of fuzzy function as space accumulation of parameters. Finally

tracks are detected by the serial Hough transform. Simulation experiment show that this algorithm can effectively improve the track crowding phenomenon and constrain the appearance of false tracks

so this algorithm is available to initiate the track under dense clutter environment.